Salesfit makes your marketing data-driven without any data science or coding skills. Just connect your data to an algorithm built for a specific use-case. Algorithms come with an example data, a step-by-step manual, and a dashboard template.
No-code toolkit for data-driven marketing
Salesfit makes your marketing data-driven without any data science or coding skills. Just connect your data to an algorithm built for a specific use-case. Algorithms come with an example data, a step-by-step manual, and a dashboard template.
Hello hunters! 🙋🏻♂️ We launched Salesfit as an easy-to-use software for customer segmentation here on ProductHunt last autumn.🙀 Since then, we’ve gotten hundreds of users, tons of feedback, a couple of partners and a lot of support from the global startup community. Nevertheless, it’s time for a big update today! 🎉 What remains the same? The benefits. It’s no-code - you can use Salesfit without any coding or data science. It’s easy-to-use - you just connect your data in .csv or Google Sheets. Y
Hello hunters! You need quite a lot of data and know-how to run efficient marketing. Salesfit allows you to run your marketing like the top start-ups or enterprises but without the need of coding or in-house data scientist.
This is perfect guys! I will give it a try, definitely.
It's a great idea of presenting data to marketers, which helps them make better decisions. Good luck!
For once I don't have to say: "I need to send this to my dev team" :) Thanks for sharing.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.